Tweak noaa contact text for case studies (awslabs#805)

datasets/noaa-eri.yaml

@@ -1,6 +1,8 @@
 Name: NOAA Emergency Response Imagery
 Description: In order to support NOAA's homeland security and emergency response requirements, the National Geodetic Survey Remote Sensing Division (NGS/RSD) has the capability to acquire and rapidly disseminate a variety of spatially-referenced datasets to federal, state, and local government agencies, as well as the general public. Remote sensing technologies used for these projects have included lidar, high-resolution digital cameras, a film-based RC-30 aerial camera system, and hyperspectral imagers. Examples of rapid response initiatives include acquiring high resolution images with the Emerge/Applanix Digital Sensor System (DSS).
-Contact: For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected]
+Contact: |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Manually when needed
 Documentation: https://www.ngs.noaa.gov/RSD/erp.shtml

datasets/noaa-gefs-reforecast.yaml

@@ -2,7 +2,9 @@ Name: NOAA Global Ensemble Forecast System (GEFS) Re-forecast
 Description: >
   NOAA has generated a multi-decadal reanalysis and reforecast data set to accompany the next-generation version of its ensemble prediction system, the Global Ensemble Forecast System, version 12 (GEFSv12). Accompanying the real-time forecasts are “reforecasts” of the weather, that is, retrospective forecasts spanning the period 2000-2019. These reforecasts are not as numerous as the real-time data; they were generated only once per day, from 00 UTC initial conditions, and only 5 members were provided, with the following exception. Once weekly, an 11-member reforecast was generated, and these extend in lead time to +35 days. 
 Documentation: https://noaa-gefs-retrospective.s3.amazonaws.com/Description_of_reforecast_data.pdf
-Contact: "For any data delivery issues or any questions in general, please contact the NOAA Big Data Program Team at: [email protected]."
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Re-forecasts do not adhere to an update frequency.
 Collabs:

datasets/noaa-gefs.yaml

@@ -1,7 +1,10 @@
 Name: NOAA Global Ensemble Forecast System (GEFS)
 Description: The Global Ensemble Forecast System (GEFS), previously known as the GFS Global ENSemble (GENS), is a weather forecast model made up of 21 separate forecasts, or ensemble members.  The National Centers for Environmental Prediction (NCEP) started the GEFS to address the nature of uncertainty in weather observations, which is used to initialize weather forecast models. The GEFS attempts to quantify the amount of uncertainty in a forecast by generating an ensemble of multiple forecasts, each minutely different, or perturbed, from the original observations. With global coverage, GEFS is produced four times a day with weather forecasts going out to 16 days.
 Documentation: https://docs.opendata.aws/noaa-gefs-pds/readme.html
-Contact: For questions regarding data content or quality, visit [the NOAA GEFS site](http://www.emc.ncep.noaa.gov/index.php?branch=GEFS). For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected]
+Contact: |
+  For questions regarding data content or quality, visit [the NOAA GEFS site](http://www.emc.ncep.noaa.gov/index.php?branch=GEFS). <br/>
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]@noaa.gov.
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: 4 times a day, every 6 hours starting at midnight.
 Collabs:

datasets/noaa-ghcn.yaml

@@ -1,7 +1,10 @@
 Name: NOAA Global Historical Climatology Network Daily (GHCN-D)
 Description: Global Historical Climatology Network - Daily is a dataset from NOAA that contains daily observations over global land areas. It contains station-based measurements from land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. It is a composite of climate records from numerous sources that were merged together and subjected to a common suite of quality assurance reviews.  Some data are more than 175 years old. The data is in CSV format. Each file corresponds to a year from 1763 to present and is named as such.
 Documentation: https://docs.opendata.aws/noaa-ghcn-pds/readme.html
-Contact: For questions regarding data content or quality, visit [the NOAA GHCN site](https://www.ncdc.noaa.gov/ghcn-daily-description). For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected]
+Contact: |
+  For questions regarding data content or quality, visit [the NOAA GHCN site](https://www.ncdc.noaa.gov/ghcn-daily-description).  <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Daily
 Collabs:

datasets/noaa-ghe.yaml

@@ -11,10 +11,9 @@ Description: |
 Contact: |
   For questions regarding product content or
   quality, visit https://www.ospo.noaa.gov/Products/atmosphere/ghe/index.html.
-  For any questions regarding data delivery not
-  associated with this platform or any general
-  questions regarding the NOAA Big Data Program,
-  email [email protected].
+  <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 Documentation: https://www.ospo.noaa.gov/Products/atmosphere/ghe/index.html
 UpdateFrequency: 15 minute-instantaneous

datasets/noaa-goes.yaml

@@ -10,7 +10,9 @@ Description: |
   hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able
   to monitor storm development and track their movements.
 Documentation: https://docs.opendata.aws/noaa-goes16/cics-readme.html
-Contact: [email protected]
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: New data is added as soon as it's available
 Collabs:

datasets/noaa-himawari.yaml

@@ -1,7 +1,9 @@
 Name: JMA Himawari-8
 Description: Himawari-8, stationed at 140E, owned and operated by the Japan Meteorological Agency (JMA), is a geostationary meteorological satellite, with Himawari-9  as on-orbit back-up, that provides constant and uniform coverage of east Asia, and the west and central Pacific regions from around 35,800 km above the equator with an orbit corresponding to the period of the earth’s rotation. This allows JMA weather offices to perform uninterrupted observation of environmental phenomena such as typhoons, volcanoes, and general weather systems. For questions regarding Himawari-8 imagery specifications, visit the JMA site at https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html.  For examples of Full Disk Himawari-8 imagery coverage, visit the NOAA Himawari-8 data page at https://www.goes.noaa.gov/f_himawari-8.html.
 Documentation: https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html
-Contact: [email protected].
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes for Regions 4 and 5.
 Collabs:

datasets/noaa-hrrr-pds.yaml

@@ -2,7 +2,9 @@ Name: NOAA High-Resolution Rapid Refresh (HRRR) Model
 Description: >
   The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.
 Documentation: https://docs.opendata.aws/noaa-hrrr-pds/readme.html
-Contact: "For any data delivery issues or any questions in general, please contact the NOAA Big Data Project Team at: [email protected]."
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](https://www.noaa.gov/)"
 UpdateFrequency: Hourly
 Collabs:

datasets/noaa-isd.yaml

@@ -23,7 +23,9 @@ Description: |
   by each station.
 Documentation: https://www.ncei.noaa.gov/data/global-hourly/doc/isd-format-document.pdf
 Contact: |
-  For questions regarding data content or quality, visit [the NOAA ISD site](https://www.ncei.noaa.gov/data/global-hourly/doc/isd-format-document.pdf). For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  For questions regarding data content or quality, visit [the NOAA ISD site](https://www.ncei.noaa.gov/data/global-hourly/doc/isd-format-document.pdf). <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Daily
 Collabs:

datasets/noaa-nbm.yaml

@@ -2,7 +2,9 @@ Name: NOAA National Blend of Models (NBM)
 Description: >
   The National Blend of Models (NBM) is a nationally consistent and skillful suite of calibrated forecast guidance based on a blend of both NWS and non-NWS numerical weather prediction model data and post-processed model guidance. The goal of the NBM is to create a highly accurate, skillful and consistent starting point for the gridded forecast. The most recent data is under the opnl and expr prefixes. A copy is also placed under the wmo prefix. The wmo prefix is structured like so: wmo/<parameter>/<year>/<month>/<day>/<wmo-file-name> The wmo filename codes can be deciphered using the spreadsheet in the root of the bucket.
 Documentation: https://www.weather.gov/mdl/nbm_home
-Contact: "For any data delivery issues or any questions in general, please contact the NOAA Big Data Program Team at: [email protected]."
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Once per hour
 Collabs:

datasets/noaa-ndfd.yaml

@@ -1,7 +1,9 @@
 Name: NOAA National Digital Forecast Database (NDFD)
 Description: The National Digital Forecast Database (NDFD) is a suite of gridded forecasts of sensible weather elements (e.g., cloud cover, maximum temperature).  Forecasts prepared by NWS field offices working in collaboration with the National Centers for Environmental Prediction (NCEP) are combined in the NDFD to create a seamless mosaic of digital forecasts from which operational NWS products are generated.
 Documentation: https://www.weather.gov/mdl/ndfd_home, https://www.weather.gov/mdl/ndfd_info (For NDFD Product information, instructions, and lookup tables)
-Contact: "For any data delivery issues or any questions in general, please contact the NOAA Big Data Program Team at: [email protected]."
+Contact:  |
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: As often as once every half hour (varies by forecast element, forecast projection, and domain)
 Collabs:

datasets/noaa-nwm-pds.yaml

@@ -14,8 +14,9 @@ Description: |
 Documentation: https://docs.opendata.aws/noaa-nwm-pds/readme.html
 Contact: |
   For questions regarding data content or quality, go [here](http://water.noaa.gov/about/nwm).
-  For any questions regarding data delivery not associated with this platform or any general questions
-  regarding the NOAA Big Data Program, email [[email protected]]([email protected]).
+  <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Daily
 Collabs:

datasets/noaa-ofs.yaml

@@ -1,7 +1,11 @@
 Name: NOAA Operational Forecast System (OFS)
 Description: The Operational Forecast System (OFS) has been developed to serve the maritime user community. OFS was developed in a joint project of the NOAA/National Ocean Service (NOS)/Office of Coast Survey, the NOAA/NOS/Center for Operational Oceanographic Products and Services (CO-OPS), and the NOAA/National Weather Service (NWS)/National Centers for Environmental Prediction (NCEP) Central Operations (NCO). OFS generates water level, water current, water temperature, water salinity (except for the Great Lakes) and nowcast and forecast guidance four times per day.
 Documentation: https://docs.opendata.aws/noaa-ofs-pds/readme.html
-Contact: For questions regarding data content or quality, visit [the NOAA OFS site](https://tidesandcurrents.noaa.gov/models.html). For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected]
+Contact: |
+  For questions regarding data content or quality, visit [the NOAA OFS site](https://tidesandcurrents.noaa.gov/models.html). 
+  <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: 4 times a day, every 6 hours starting at midnight and generates 6-hour nowcasts and 48-hour forecast guidance
 Collabs:

datasets/noaa-s111.yaml

@@ -10,7 +10,11 @@ Description: >
   Each individual S-111 (HDF-5) file contains all forecast projections from a single model run for that geographic area. In other words, a single S-111 file will contain multiple gridded arrays each containing a forecast valid at a distinct time in the future, out to the forecast horizon of the underlying modeling system.
   All surface currents forecasts in this collection are computed at a depth of 4.5 meters below water surface, or half the water column depth, whichever is shallower.
 Documentation: https://noaa-s111-pds.s3.amazonaws.com/README.html
-Contact: "For any data delivery issues, please contact the NOAA Big Data Program Team at: [email protected]. For general questions or feedback about the data, please submit inquiries through the NOAA Office of Coast Survey (OCS) ASSIST Tool at https://www.nauticalcharts.noaa.gov/customer-service/assist/."
+Contact: |
+  For general questions or feedback about the data, please submit inquiries through the NOAA Office of Coast Survey (OCS) ASSIST Tool at https://www.nauticalcharts.noaa.gov/customer-service/assist/."
+  <br />
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email [email protected].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: [email protected]
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Four times per day for each OFS, except Global RTOFS which updates once per day
 Collabs: